Collecting and Classifying Security and Privacy Design Patterns for Connected Vehicles: SECREDAS Approach.
Nadja MarkoAlexandr VasenevChristoph StriecksPublished in: SAFECOMP Workshops (2020)
Keyphrases
- design patterns
- security issues
- security concerns
- statistical databases
- data security
- sensitive data
- security mechanisms
- object oriented
- information security
- security and privacy issues
- personal data
- privacy issues
- software engineering
- privacy requirements
- privacy preserving
- security risks
- access control
- object oriented software
- security properties
- security threats
- privacy concerns
- software architecture
- security measures
- preserving privacy
- rfid systems
- data privacy
- confidential information
- security requirements
- software design
- security policies
- design principles
- authentication protocol
- ontology driven
- software systems
- identity management
- biometric template
- usage scenarios
- process model
- private information
- sensitive information
- electronic payment
- privacy preserving data mining
- data mining
- personal information
- specific problems
- privacy protection
- real world
- autonomous agents
- design rationale
- learning games
- database driven
- distributed systems
- high level
- machine learning
- databases
- model view controller
- behavioural patterns